Instructions to use raykallen/cybert_apache_parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raykallen/cybert_apache_parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raykallen/cybert_apache_parser")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raykallen/cybert_apache_parser") model = AutoModelForTokenClassification.from_pretrained("raykallen/cybert_apache_parser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from raykallen/cybert_apache_parser: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/raykallen/cybert_apache_parser/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://raykallen/cybert_apache_parser/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/raykallen/cybert_apache_parser/resolve/main/flax_model.msgpack
431 MB
- Xet hash:
- 5642f5993feda58521d1004025721718de67b96832d9c9ca3cbe3b9a9a5b980f
- Size of remote file:
- 431 MB
- SHA256:
- f0c5294f1653f16f6b36bb9aae2aa346b352e3799039b5865229777ab637069e
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